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dc.contributor.advisorChairperson, Graduate Committee: Brendan Mumeyen
dc.contributor.authorJudson, Ivan Rossen
dc.date.accessioned2014-05-21T20:55:46Z
dc.date.available2014-05-21T20:55:46Z
dc.date.issued2013en
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/3014en
dc.description.abstractWireless networking is a critical component of today's internet infrastructure. Two examples of important wireless internet infrastructure are long distance network backbone links and last-mile solutions to remote areas. Wireless technology already supplies a wide variety of consumer solutions including analog television channels (TVWS), cellular infrastructure for massive scale real-time communication, and computer networking for seamless global connectivity. Worldwide, there are an estimated 2.5B internet users and 6B cellular phone subscribers- and those numbers are steadily growing. Sufficient capacity for divergent wireless applications, along with their growing users, calls for a more efficient use of bandwidth. We present multiple resource allocation algorithms to address this challenge in various aspects of wireless networking. Each algorithm focuses on a single resource of wireless networking: antenna beam sector activation, directional antenna beam bearings and duration, joint routing and channel selection, and link-channel allocation. In terms of computation and memory, our topology control algorithms provide near optimal performance with significantly lower cost. For each algorithm, a rich set of simulation scenarios is presented that compare our novel algorithms performance to the optimal solution. Ultimately, we present a topology control algorithm that provides an efficient solution to the channel rental problem: finding the most cost-effective set of communication channels (for a wireless mesh network) at a minimum performance guarantee. This problem occurs in high-density traditional wireless networking, cellular networking, and rural sparse networking with last mile internet connectivity; topology control algorithms are well suited for all applications of wireless technology. These algorithms are shown to be robust against various network challenges including topology, frequency availability, and interference.en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.subject.lcshCognitive radio networks.en
dc.subject.lcshRadio resource management (Wireless communications).en
dc.subject.lcshAlgorithms.en
dc.titleAlgorithmic aspects of resource allocation in cognitive radio wireless networksen
dc.typeDissertationen
dc.rights.holderCopyright 2013 by Ivan Ross Judsonen
thesis.catalog.ckey2531531en
thesis.degree.committeemembersMembers, Graduate Committee: Binhai Zhu; Rockford J. Ross; Richard Wolffen
thesis.degree.departmentComputer Science.en
thesis.degree.genreDissertationen
thesis.degree.namePhDen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage145en


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